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Study o
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An
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in
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li
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t
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v
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in
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se
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Mu
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C
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I
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m
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ML
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in
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ts
[
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T
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[
2
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in
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p
m
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ML
I
.
Hig
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p
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s
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o
wn
in
cr
ea
s
in
g
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ter
est
in
ML
I
r
ec
en
tly
[
3
]
-
[
5
]
.
B
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ef
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ML
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ag
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[
7
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-
[
1
1
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.
So
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M
L
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alize
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m
b
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f
s
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r
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s
[
1
2
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,
[
1
3
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.
I
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p
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ML
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v
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wer
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p
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[
1
4
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-
[
1
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.
1
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ML
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l
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g
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[
2
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T
h
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p
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to
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p
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[
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Mo
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g
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tio
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ay
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u
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with
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esear
ch
in
ter
est in
ML
I
s
in
r
ec
en
t y
ea
r
s
.
ML
I
s
h
av
e
ce
r
tain
d
r
awb
ac
k
s
,
p
ar
ticu
lar
ly
th
e
n
ee
d
f
o
r
a
l
ar
g
e
n
u
m
b
er
o
f
p
o
wer
s
witch
es,
wh
ich
co
m
p
licates
th
e
d
esig
n
.
E
v
e
n
wh
en
u
s
in
g
lo
w
-
v
o
ltag
e
s
witch
es,
ea
ch
o
n
e
r
eq
u
ir
es
its
o
wn
g
ate
d
r
iv
e
r
an
d
p
r
o
tectio
n
cir
c
u
itry
,
m
ak
i
n
g
t
h
e
s
y
s
tem
m
o
r
e
ex
p
en
s
iv
e
a
n
d
co
m
p
lex
.
T
o
ad
d
r
ess
th
is
is
s
u
e,
r
esear
ch
er
s
h
av
e
p
r
o
p
o
s
ed
in
n
o
v
ativ
e
ML
I
to
p
o
lo
g
ies
th
at
r
ed
u
ce
th
e
n
u
m
b
er
o
f
p
o
wer
s
witch
es
an
d
DC
v
o
ltag
e
s
o
u
r
ce
s
co
m
p
ar
ed
to
tr
ad
itio
n
al
d
esig
n
s
[
2
4
]
-
[
2
8
]
.
Ho
we
v
er
,
th
es
e
n
ew
in
v
er
ter
s
s
till
r
eq
u
ir
e
m
an
y
b
id
i
r
ec
tio
n
al
s
witc
h
es to
ac
h
iev
e
an
o
u
t
p
u
t
v
o
ltag
e
with
co
n
s
is
ten
t step
le
v
els.
A
n
ew
to
p
o
lo
g
y
h
as
b
ee
n
s
u
g
g
ested
in
[
2
8
]
.
T
h
at
p
ap
e
r
p
r
esen
ts
a
ca
s
ca
d
ed
ML
I
to
p
o
lo
g
y
th
a
t
in
cr
ea
s
es
o
u
tp
u
t
v
o
ltag
e
lev
el
s
wh
ile
r
ed
u
cin
g
d
r
i
v
er
cir
c
u
its
,
p
o
wer
s
witch
es,
an
d
i
n
v
er
te
r
co
s
ts
.
T
h
e
d
esig
n
u
tili
ze
s
u
n
id
ir
ec
tio
n
al
p
o
wer
s
witch
es
an
d
h
as
b
ee
n
co
m
p
ar
ed
to
o
t
h
er
ty
p
o
lo
g
ies.
I
t
s
p
er
f
o
r
m
an
ce
was
ass
es
s
ed
in
g
en
er
atin
g
all
v
o
ltag
e
lev
els in
a
7
-
lev
el
in
v
er
ter
co
n
f
ig
u
r
ati
o
n
.
Ho
wev
er
,
it r
eq
u
ir
es a
h
ig
h
er
to
tal
DC
lin
k
v
o
ltag
e
an
d
an
ad
e
q
u
at
e
m
u
ltil
ev
el
m
o
d
u
latio
n
tech
n
iq
u
e.
T
h
er
e
ar
e
s
o
m
a
n
y
wo
r
k
s
o
n
eq
u
al
s
tep
an
g
le
in
wh
ich
th
e
in
v
er
ter
p
r
o
d
u
ce
d
h
i
g
h
er
to
tal
h
ar
m
o
n
ic
d
is
to
r
tio
n
(
T
HD)
.
T
h
e
r
e
ar
e
v
er
y
f
ew
wo
r
k
s
o
n
s
in
u
s
o
id
al
s
witch
in
g
an
g
le,
b
u
t
m
o
s
t
o
f
th
e
r
esear
ch
er
s
in
th
eir
wo
r
k
d
i
d
n
o
t
m
e
n
tio
n
h
o
w
to
ca
lcu
late
t
h
e
s
in
u
s
o
id
al
s
witch
in
g
an
g
le
v
alu
es
,
an
d
also
d
id
n
o
t
p
er
f
o
r
m
an
ex
p
e
r
im
en
t
-
b
ased
s
tu
d
y
.
Mo
s
t
o
f
th
em
u
s
ed
MA
T
L
A
B
an
d
MU
L
T
I
SIM
.
I
t
is
d
if
f
icu
lt
to
g
e
n
er
ate
a
co
n
v
er
ter
u
s
in
g
MA
T
L
AB
/MUL
T
I
SIM
.
T
h
at’
s
wh
y
,
in
th
i
s
r
esear
ch
,
PS
I
M
h
as
b
ee
n
u
s
ed
.
I
n
th
is
ar
ticle,
a
n
o
v
el
asy
m
m
etr
ical
ML
I
to
p
o
lo
g
y
is
in
tr
o
d
u
ce
d
,
f
ea
tu
r
i
n
g
f
ewe
r
p
o
wer
elec
tr
o
n
ic
s
witch
es
co
m
p
ar
e
d
to
tr
ad
itio
n
al
d
esig
n
s
.
B
y
u
s
in
g
a
s
im
p
le
m
ath
em
atica
l
eq
u
atio
n
to
d
eter
m
i
n
e
th
e
s
in
u
s
o
id
al
an
g
le
f
o
r
th
e
d
if
f
er
en
t
lev
els
o
f
i
n
v
er
ter
a
n
d
r
ed
u
ci
n
g
th
e
n
u
m
b
e
r
o
f
I
GB
T
s
,
p
o
wer
d
io
d
es,
an
d
g
ate
d
r
i
v
er
s
,
th
is
p
r
o
p
o
s
ed
in
v
er
ter
aim
s
t
o
lo
wer
co
s
ts
,
en
h
a
n
ce
ef
f
icien
cy
,
an
d
s
im
p
lify
c
o
n
tr
o
l
m
eth
o
d
s
.
T
h
e
s
tu
d
y
f
o
cu
s
es
o
n
d
esig
n
in
g
an
d
m
o
d
elin
g
ML
I
s
with
eq
u
al
-
an
g
le
s
witch
in
g
an
d
s
in
u
s
o
id
al
an
g
le
s
witch
in
g
t
o
s
h
o
w
th
e
co
m
p
ar
is
o
n
o
f
T
HD.
T
h
e
s
tu
d
y
f
o
cu
s
es
o
n
v
ar
y
in
g
th
e
s
in
u
s
o
id
al
s
witch
in
g
an
g
les
to
m
in
im
ize
th
e
T
HD
o
f
th
e
o
u
tp
u
t
v
o
ltag
es.
T
h
e
s
u
g
g
ested
d
esig
n
,
w
h
ich
h
as
b
et
wee
n
3
a
n
d
1
5
lev
els,
is
test
ed
u
s
in
g
t
h
e
PS
I
M
s
o
f
twar
e
f
o
r
b
o
th
e
q
u
al
-
s
tep
an
d
s
in
u
s
o
id
al
-
s
witch
in
g
an
g
l
es,
an
d
th
e
r
esu
lts
ar
e
co
n
f
ir
m
ed
with
a
p
h
y
s
ical
h
ar
d
war
e
s
etu
p
.
2.
T
H
E
P
RO
P
O
SE
D
M
E
T
H
O
D
I
n
an
ML
I
,
id
en
tify
in
g
th
e
s
witch
in
g
an
g
le,
also
k
n
o
wn
as
th
e
co
n
d
u
ctio
n
an
g
le,
is
c
r
u
cial
f
o
r
g
en
er
atin
g
g
atin
g
s
ig
n
als
f
o
r
p
o
we
r
-
s
witch
in
g
d
e
v
ices.
T
h
e
s
witch
in
g
an
g
le
s
p
ec
if
ies h
o
w
l
o
n
g
a
s
witch
s
tay
s
in
th
e
ON
an
d
OFF p
o
s
itio
n
s
.
T
h
er
e
ar
e
two
m
ain
tech
n
i
q
u
e
s
f
o
r
u
tili
zin
g
th
e
s
witch
in
g
an
g
le:
−
E
q
u
al
an
g
le
tech
n
iq
u
e
:
T
h
is
m
eth
o
d
en
s
u
r
es
th
at
th
e
co
n
d
u
ctio
n
tim
e
f
o
r
ea
ch
ON
an
d
OFF
s
tate
i
s
u
n
if
o
r
m
ac
r
o
s
s
all
lev
els.
−
Sin
u
s
o
id
al
an
g
le
tech
n
iq
u
e
:
T
h
is
ap
p
r
o
ac
h
allo
ws
f
o
r
v
ar
iat
io
n
s
in
th
e
c
o
n
d
u
ctio
n
tim
e
b
e
twee
n
ON
an
d
OFF
s
tate
s
.
T
o
ca
lcu
late
th
es
e
v
ar
iatio
n
s
in
co
n
d
u
ctio
n
tim
e,
a
s
p
ec
if
ic
f
o
r
m
u
la
(
r
e
f
er
r
ed
to
as
(
1
)
is
u
s
ed
.
T
h
e
f
o
r
m
u
la
is
:
=
−
1
(
/
)
(
1
)
T
h
e
o
u
tp
u
t
v
o
ltag
e
at
a
s
p
ec
if
ic
m
o
m
en
t
is
r
ep
r
esen
ted
b
y
Vo
,
wh
ile
th
e
to
tal
o
u
tp
u
t
v
o
ltag
e
is
d
en
o
ted
as
Vm
.
T
h
e
wo
r
k
f
lo
w
o
u
tlin
ed
in
Fig
u
r
e
1
in
v
o
lv
es
s
ev
er
al
k
ey
s
tep
s
.
First,
th
e
ap
p
r
o
p
r
iate
ty
p
e
o
f
s
witch
,
s
u
ch
as
a
MO
SF
E
T
o
r
I
GB
T
,
is
s
elec
ted
.
Nex
t,
th
e
in
v
er
ter
lev
el
is
d
eter
m
in
ed
.
Fo
llo
win
g
th
is
,
th
e
cir
cu
it
is
d
esig
n
ed
u
s
in
g
PS
I
M
s
o
f
twar
e,
in
co
r
p
o
r
atin
g
t
h
e
ca
lc
u
lated
s
tep
an
g
les
f
o
r
b
o
th
E
q
u
al
Step
an
d
Sin
u
s
o
id
al
Switch
in
g
An
g
le
m
eth
o
d
s
.
T
h
e
s
im
u
latio
n
is
th
en
e
x
ec
u
ted
to
g
en
e
r
ate
o
u
t
p
u
t
wav
e
f
o
r
m
s
.
Fin
ally
,
th
e
o
u
tp
u
t
is
an
aly
ze
d
to
d
eter
m
in
e
th
e
f
ast
F
o
u
r
ier
tr
an
s
f
o
r
m
(
FF
T
)
v
alu
es
an
d
T
HD
v
alu
es,
w
h
ich
a
r
e
r
ec
o
r
d
e
d
in
a
tab
le.
T
h
is
en
tire
p
r
o
ce
s
s
is
ill
u
s
tr
ated
in
th
e
f
lo
w
d
iag
r
am
.
T
h
is
wo
r
k
p
r
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ts
a
p
r
o
p
o
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e
d
ML
I
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it
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n
s
is
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g
o
f
f
o
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r
s
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ase
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r
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er
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its
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n
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ig
u
r
ed
in
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er
ies
wh
ich
as
s
h
o
wn
in
Fig
u
r
e
2
.
T
h
e
ML
I
aim
s
to
p
r
o
d
u
ce
a
s
p
ec
if
ic
o
u
tp
u
t
v
o
ltag
e
f
r
o
m
Evaluation Warning : The document was created with Spire.PDF for Python.
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I
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2
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o
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r
o
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n
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a
s
ep
ar
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s
o
u
r
ce
.
T
h
e
ca
s
ca
d
ed
in
v
e
r
ter
ar
ch
itectu
r
e
co
n
n
ec
ts
AC
ter
m
in
al
v
o
ltag
es
in
s
er
ies,
elim
i
n
atin
g
th
e
n
ee
d
f
o
r
v
o
ltag
e
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clam
p
i
n
g
d
i
o
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es
o
r
c
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ito
r
s
.
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r
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e
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clu
d
e
f
o
u
r
I
R
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4
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E
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s
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es,
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tifie
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as
MO
S
-
1
,
MO
S
-
2
,
MO
S
-
3
,
an
d
MO
S
-
4
,
with
d
if
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er
e
n
t d
esig
n
a
tio
n
s
f
o
r
ea
ch
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el
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v
e
r
ter
.
Fig
u
r
e
1
.
Flo
w
d
ia
g
r
am
o
f
th
is
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r
k
Fig
u
r
e
2
.
Flo
w
d
ia
g
r
am
o
f
th
e
ex
p
er
im
en
tal
wo
r
k
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I
n
t J Po
w
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S
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e
I
GB
T
s
w
itch
es
ar
e
g
en
er
ated
b
y
th
is
m
icr
o
-
co
n
tr
o
ller
th
r
o
u
g
h
p
r
o
g
r
am
m
in
g
.
An
o
p
to
-
c
o
u
p
le
r
is
u
s
ed
to
is
o
late
ea
ch
s
witch
f
r
o
m
t
h
e
m
ai
n
p
o
wer
cir
cu
it.
T
h
e
o
p
t
o
-
co
u
p
ler
r
ec
eiv
es
p
u
ls
es
f
r
o
m
th
e
m
icr
o
-
c
o
n
tr
o
ller
v
ia
a
r
esis
to
r
.
T
h
e
o
u
tp
u
ts
f
r
o
m
t
h
e
f
o
u
r
in
v
er
te
r
s
ar
e
ad
d
e
d
to
p
r
o
v
id
e
th
e
p
h
ase
o
u
tp
u
t
v
o
ltag
e,
as
s
ee
n
i
n
Fig
u
r
e
2
.
T
h
r
ee
d
is
tin
ct
v
o
ltag
e
o
u
tp
u
ts
ca
n
b
e
p
r
o
d
u
ce
d
b
y
ea
ch
in
v
er
ter
lev
el
b
y
v
ar
y
in
g
th
e
co
m
b
in
atio
n
s
o
f
th
e
f
o
u
r
s
witch
es
co
n
n
ec
ted
to
th
e
AC
:
+V
d
c,
0
Vd
c,
an
d
-
Vd
c.
T
h
e
o
u
tp
u
t
v
o
ltag
e
o
f
H
-
b
r
id
g
e
-
1
is
co
n
tr
o
lled
b
y
v
ar
y
in
g
c
o
m
b
in
a
tio
n
s
o
f
f
o
u
r
s
witch
es,
with
th
e
o
u
tp
u
t
v
o
ltag
e
d
r
o
p
p
in
g
to
+V
d
c
wh
en
s
witch
(
s
w)
1
an
d
s
witch
4
ar
e
ac
tiv
ated
,
an
d
ze
r
o
wh
e
n
sw
3
an
d
sw
4
ar
e
tu
r
n
ed
o
n
.
T
h
e
d
r
iv
er
cir
c
u
it
tr
ig
g
er
s
I
GB
T
s
in
th
e
p
r
i
m
ar
y
m
u
ltil
ev
el
in
v
er
ter
cir
cu
it,
en
a
b
lin
g
th
e
d
esire
d
m
u
ltil
ay
er
o
u
t
p
u
t.
Fo
u
r
I
GB
T
s
cr
ea
te
a
s
in
g
le
-
p
h
ase
ca
s
ca
d
ed
asy
m
m
etr
ical
s
witch
in
g
DC
v
o
ltag
e
s
o
u
r
ce
-
b
ased
ML
I
with
3
lev
els
o
f
DC
v
o
ltag
e
o
u
tp
u
t.
An
H
-
b
r
id
g
e
with
s
ix
teen
ad
d
itio
n
al
I
GB
T
s
p
r
o
d
u
ce
s
15
-
lev
e
l
AC
o
u
tp
u
t v
o
ltag
e,
wh
ich
is
s
en
t to
th
e
lo
a
d
.
3.
SI
M
UL
A
T
I
O
N
M
E
T
H
O
D
T
h
e
r
e
i
s
v
a
r
i
o
u
s
s
i
m
u
l
a
t
i
o
n
s
o
f
t
w
a
r
e
a
v
a
i
l
a
b
l
e
f
o
r
e
l
e
c
t
r
o
n
i
c
c
i
r
c
u
i
t
s
i
m
u
l
a
t
i
o
n
,
i
n
c
l
u
d
i
n
g
P
S
I
M
,
M
A
T
L
A
B
/
S
i
m
u
l
i
n
k
,
M
u
l
t
i
-
S
i
m
,
P
r
o
t
e
u
s
,
a
n
d
P
S
-
P
i
c
e
.
A
m
o
n
g
t
h
e
s
e
,
P
S
I
M
s
t
a
n
d
s
o
u
t
a
s
t
h
e
m
o
s
t
s
u
i
t
a
b
l
e
c
h
o
i
c
e
f
o
r
d
e
v
e
l
o
p
i
n
g
a
n
d
s
i
m
u
l
a
t
i
n
g
p
o
w
e
r
e
l
e
c
t
r
o
n
i
c
c
i
r
c
u
i
t
s
[
2
3
]
.
P
S
I
M
h
a
s
s
e
v
e
r
a
l
a
d
v
a
n
t
a
g
e
s
o
v
e
r
o
t
h
e
r
t
o
o
l
s
:
−
I
t is si
m
p
ler
to
u
s
e
th
an
m
a
n
y
o
th
er
s
im
u
latio
n
p
r
o
g
r
am
s
.
−
I
t p
r
o
v
i
d
es f
aster
s
im
u
latio
n
tim
es c
o
m
p
ar
ed
to
its
co
m
p
etito
r
s
.
−
I
ts
u
s
er
-
f
r
ien
d
ly
in
ter
f
ac
e
h
as led
to
its
p
o
p
u
lar
ity
in
th
e
s
im
u
latio
n
an
d
d
esig
n
s
ec
to
r
.
T
h
is
s
tu
d
y
aim
s
to
im
p
lem
e
n
t
a
m
u
ltil
ev
el
in
v
er
te
r
in
a
r
ea
l
-
wo
r
ld
ap
p
licatio
n
,
u
s
in
g
DC
s
o
u
r
ce
v
alu
es
th
a
t
co
r
r
esp
o
n
d
to
ac
tu
al
b
atter
y
s
p
ec
if
icatio
n
s
.
T
h
e
s
ch
em
atic
d
iag
r
am
o
f
th
e
3
to
1
5
le
v
el
in
v
er
ter
s
ar
e
s
h
o
w
n
i
n
Fi
g
u
r
e
s
3
to
9
.
Fig
u
r
e
3
.
C
ir
cu
it
d
iag
r
am
o
f
3
-
lev
el
ML
I
in
v
e
r
ter
Fig
u
r
e
4
.
C
ir
cu
it d
iag
r
am
o
f
5
-
lev
el
ML
I
in
v
e
r
ter
Fig
u
r
e
5
.
C
ir
cu
it
d
iag
r
am
o
f
7
-
lev
el
ML
I
i
n
v
e
r
ter
Fig
u
r
e
6
.
C
ir
cu
it
d
iag
r
am
o
f
9
-
lev
el
ML
I
i
n
v
e
r
ter
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8
6
9
4
I
n
t J Po
w
E
lec
&
Dr
i Sy
s
t
,
Vo
l.
16
,
No
.
4
,
Dec
em
b
er
20
25
:
2570
-
2
5
8
1
2574
Fig
u
r
e
7
.
C
ir
cu
it d
iag
r
am
o
f
1
1
-
lev
el
ML
I
in
v
er
ter
Fig
u
r
e
8
.
C
ir
cu
it d
iag
r
am
o
f
1
3
-
lev
el
ML
I
in
v
er
ter
Fig
u
r
e
9
.
C
ir
cu
it d
iag
r
am
o
f
a
15
-
lev
el
ML
I
in
v
er
ter
4.
RE
SU
L
T
S AN
D
D
I
SCU
SS
I
O
N
PS
I
M
s
o
f
twar
e
was
u
s
ed
to
s
im
u
late
m
u
lti
-
lev
el
in
v
er
ter
s
w
ith
3
to
1
5
o
u
tp
u
t
lev
els.
T
wo
s
witch
in
g
an
g
le
s
tr
ateg
ies
wer
e
ap
p
lied
:
eq
u
al
s
tep
a
n
d
s
in
u
s
o
id
al
s
tep
m
eth
o
d
s
.
T
h
e
o
u
tp
u
t
v
o
ltag
e
wav
ef
o
r
m
s
r
esu
ltin
g
f
r
o
m
b
o
th
m
et
h
o
d
s
ar
e
s
h
o
wn
in
Fig
u
r
es
1
0
to
2
3
.
Af
ter
ap
p
ly
in
g
th
e
L
C
f
ilter
f
o
r
b
o
th
eq
u
al
s
tep
an
d
s
in
u
s
o
id
al
s
tep
,
we
g
et
t
h
e
v
alu
es
o
f
T
HD,
ar
e
s
h
o
w
n
in
T
a
b
le
1
.
Gr
ap
h
ical
r
ep
r
esen
tatio
n
s
o
f
lev
el
v
er
s
u
s
p
er
ce
n
t
o
f
T
HD
ar
e
s
h
o
wn
in
Fig
u
r
e
2
4
.
Fro
m
th
is
f
ig
u
r
e
,
it
is
o
b
s
er
v
ed
th
at
as
th
e
lev
el
is
in
cr
ea
s
ed
,
th
e
T
HD
d
ec
r
ea
s
es
.
Fo
r
an
eq
u
al
s
tep
an
g
le,
th
e
d
ec
r
ea
s
e
o
f
T
HD
is
le
s
s
th
an
th
at
o
f
an
eq
u
al
s
tep
an
g
le.
I
n
th
e
ca
s
e
o
f
an
e
q
u
al
s
tep
an
g
le,
th
e
T
HD
d
ec
r
ea
s
es
d
r
asti
ca
lly
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J Po
w
E
lec
&
Dr
i Sy
s
t
I
SS
N:
2088
-
8
6
9
4
S
tu
d
y
o
f a
s
ymm
etri
ca
l
-
mu
lti l
ev
el
in
ve
r
ter u
s
in
g
tw
o
s
w
i
tch
in
g
a
n
g
le
tech
n
i
q
u
es
(
Dewa
n
A
s
h
iku
r
R
a
h
a
ma
n
)
2575
T
ab
le
1
.
L
e
v
el
v
s
with
o
u
t f
ilte
r
v
s
with
f
ilter
f
o
r
T
HD
v
alu
es
N
u
mb
e
r
o
f
l
e
v
e
l
s
TH
D
w
i
t
h
o
u
t
L
C
f
i
l
t
e
r
f
o
r
e
q
u
a
l
st
e
p
a
n
g
l
e
TH
D
w
i
t
h
L
C
f
i
l
t
e
r
f
o
r
e
q
u
a
l
st
e
p
a
n
g
l
e
TH
D
w
i
t
h
o
u
t
L
C
f
i
l
t
e
r
f
o
r
si
n
u
s
o
i
d
a
l
st
e
p
a
n
g
l
e
TH
D
w
i
t
h
L
C
f
i
l
t
e
r
f
o
r
si
n
u
s
o
i
d
a
l
st
e
p
a
n
g
l
e
3
4
8
.
3
1
%
4
8
.
0
7
%
3
7
.
2
8
%
3
6
.
1
8
%
5
2
8
.
9
9
%
2
8
.
7
6
%
1
9
.
8
8
%
1
8
.
6
8
%
7
2
1
.
6
3
%
2
1
.
4
1
%
1
5
.
4
9
%
1
4
.
9
8
%
9
1
8
.
1
2
%
1
7
.
9
1
%
1
4
.
1
5
%
1
3
.
8
8
%
11
1
6
.
2
9
%
1
6
.
1
2
%
1
3
.
9
8
%
1
0
.
7
7
%
13
1
5
.
1
4
%
1
4
.
9
9
%
7
.
1
2
%
3
.
8
8
%
15
1
2
.
1
1
%
1
1
.
0
9
%
6
.
7
1
%
2
.
7
5
%
Fig
u
r
e
1
0
.
3
-
lev
el
e
q
u
al
s
tep
ML
I
o
u
tp
u
t v
o
ltag
e
wa
v
ef
o
r
m
Fig
u
r
e
1
1
.
5
-
lev
el
e
q
u
al
s
tep
ML
I
o
u
tp
u
t v
o
ltag
e
wa
v
ef
o
r
m
Fig
u
r
e
1
2
.
7
-
lev
el
e
q
u
al
s
tep
ML
I
o
u
tp
u
t v
o
ltag
e
wa
v
ef
o
r
m
T
i
m
e
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8
6
9
4
I
n
t J Po
w
E
lec
&
Dr
i Sy
s
t
,
Vo
l.
16
,
No
.
4
,
Dec
em
b
er
20
25
:
2570
-
2
5
8
1
2576
Fig
u
r
e
1
3
.
9
-
lev
el
e
q
u
al
s
tep
ML
I
o
u
tp
u
t v
o
ltag
e
wa
v
ef
o
r
m
Fig
u
r
e
1
4
.
1
1
-
le
v
el
eq
u
al
s
tep
ML
I
o
u
tp
u
t v
o
ltag
e
wa
v
ef
o
r
m
Fig
u
r
e
1
5
.
1
3
-
le
v
el
eq
u
al
s
tep
ML
I
o
u
tp
u
t v
o
ltag
e
wa
v
ef
o
r
m
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J Po
w
E
lec
&
Dr
i Sy
s
t
I
SS
N:
2088
-
8
6
9
4
S
tu
d
y
o
f a
s
ymm
etri
ca
l
-
mu
lti l
ev
el
in
ve
r
ter u
s
in
g
tw
o
s
w
i
tch
in
g
a
n
g
le
tech
n
i
q
u
es
(
Dewa
n
A
s
h
iku
r
R
a
h
a
ma
n
)
2577
Fig
u
r
e
1
6
.
1
5
-
le
v
el
eq
u
al
s
tep
ML
I
o
u
tp
u
t v
o
ltag
e
wa
v
ef
o
r
m
Fig
u
r
e
1
7
.
3
-
lev
el
s
in
u
s
o
id
al
s
tep
o
u
tp
u
t v
o
ltag
e
wa
v
ef
o
r
m
Fig
u
r
e
1
8
.
5
-
lev
el
s
in
u
s
o
id
al
s
tep
o
u
tp
u
t v
o
ltag
e
wa
v
ef
o
r
m
Fig
u
r
e
1
9
.
7
-
lev
el
s
in
u
s
o
id
al
s
tep
o
u
tp
u
t v
o
ltag
e
wa
v
ef
o
r
m
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8
6
9
4
I
n
t J Po
w
E
lec
&
Dr
i Sy
s
t
,
Vo
l.
16
,
No
.
4
,
Dec
em
b
er
20
25
:
2570
-
2
5
8
1
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